Tandy Leather Factory (TLF) Non Operating Interest Expenses (2010 - 2022)
Tandy Leather Factory's Non Operating Interest Expenses was $1,000 in Q3 2022, down 50.0% from $2,000 a year earlier and down 87.5% from the prior quarter.
Tandy Leather Factory (TLF) Non Operating Interest Expenses (2010 - 2022) Analysis & Trends
On a trailing twelve-month basis, Tandy Leather Factory's Non Operating Interest Expenses was $15,000 through Sep 30, 2022, down 11.8% year-over-year; for FY2021, it was $16,000, up 128.6% from FY2020.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -36.5% (FY2016 to FY2021).
- In earlier years, Non Operating Interest Expenses was $7,000 in FY2020 (-80.6%), $36,000 in FY2019 (-88.2%), $304,957 in FY2018 (+48.4%) and $205,555 in FY2017 (+32.5%).
- The Q3 2022 figure marks the lowest quarterly Non Operating Interest Expenses since Q1 2013.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last six quarters, with an average decline of 7.5%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2018 (growth of 77.9%); the worst was Q4 2019 (a decline of 95.1%).
- Per Business Quant data, TLF's Non Operating Interest Expenses in the three quarters before Q3 2022 was $8,000 (Q2 2022), $2,000 (Q1 2022) and $4,000 (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Tandy Leather Factory | 20.23 Mn | -24.41 Mn | 11.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 1,000.00 |
| Jun 30, 2022 | 8,000.00 |
| Mar 31, 2022 | 2,000.00 |
| Dec 31, 2021 | 4,000.00 |
| Sep 30, 2021 | 2,000.00 |
| Jun 30, 2021 | 5,000.00 |
| Mar 31, 2021 | 5,000.00 |
| Dec 31, 2020 | 5,000.00 |
| Sep 30, 2020 | 2,000.00 |
| Dec 31, 2019 | 4,000.00 |
| Mar 31, 2019 | 32,000.00 |
| Dec 31, 2018 | 81,423.00 |
| Sep 30, 2018 | 80,710.00 |
| Jun 30, 2018 | 78,182.00 |
| Mar 31, 2018 | 64,642.00 |
| Dec 31, 2017 | 62,390.00 |
| Sep 30, 2017 | 53,141.00 |
| Jun 30, 2017 | 53,680.00 |
| Mar 31, 2017 | 36,344.00 |
| Dec 31, 2016 | 46,240.00 |
Tandy Leather Factory Non Operating Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=TLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();